The Shared Prosperity Internet
This work addresses the challenge of making AI and automation accessible and beneficial to society at large, but it is a conceptual framework without empirical validation or concrete results.
The paper proposes the Shared Prosperity Internet (SPI), a network-computing architecture designed to broadly distribute the benefits of AI and automation. It maps physical constraints to design principles and technical pillars, and defines measurable outcomes for trustworthiness, sustainability, and sovereignty.
The Shared Prosperity Internet (SPI) is a network-computing architecture that makes the benefits of automation and Artificial Intelligence (AI) broadly accessible to the society. To ground its design, this paper maps the physical constraints of Shannon, Landauer, Turing, and Einstein to three design principles: trustworthiness, sustainability, and technological sovereignty, and maps them into three technical pillars: i) post-Shannon, goal-oriented communication that transmits only what the task requires; ii) anticipatory decision-making ("negative latency") with confidence-bounded pre-action and correction; and iii) beyond-digital computing that selects energy-optimal substrates under deadline and computability constraints. The SPI is grounded in three societal use cases: remote teaching for pupils, remote teaching of robots and cyber-physical systems, and elder care. Furthermore, this paper defines measurable outcomes for an SPI, including latency decomposition, bits per event, energy and CO2 per task, safety and privacy indicators, and robustness.